Design and Simulation of a Modified Firefly Algorithm

Abstract

In order to solve the problem of slow convergence of the basic firefly algorithm, a modified method was proposed. In the modified firefly algorithm, the parameters of the algorithm can be adjusted adaptively according to the lightness variance of the firefly population. And the random movement step can be determined in accordance with the distance of two flyflies. Meanwhile, the method of autonomous flight was also proposed to improve the performance of the basic algorithm. The performance of the modified firefly algorithm was proved though simulation experiments.

Optimization of Cognitive Radio System Using Enhanced Firefly Algorithm

“…Because of the random walk operation, the solution undergoes large unwanted variation. This results in the oscillatory behaviour around the global optimum and causes the slow convergence in the final generations of FA [34]. Therefore, it is evident that there is room for improvement in FA to further enhance its performance.…”